Nugraha, Arif Bakti
Fakultas Teknologi Dan Informatika, Universitas Informatika Dan Bisnis Indonesia

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Journal : Coreid Journal

Attendance System Implementation Existing Android Platform Using React Native Framework Bakti Nugraha, Arif; Rizcky Hikmawan, Muhammad
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.9

Abstract

In a school that has hundreds of students, the attendance system or attendance recording is a problem in terms of practicality and data capture. Especially during a pandemic like this, learning is carried out online or in a network, commonly called distance learning (PJJ). Currently, various applications of technological advances have been created and begun to replace conventional systems. One of them is an Android-based attendance application system. The purpose of this study is to analyze and design an application that can help manage attendance data more easily and accurately. System modeling uses Unified Modelling Language (UML) to describe visually, then implemented with PHP and JavaScript programming languages, React Native Framework, and MySQL database as a database. With the mobile-based attendance system, it can make it easier for teachers to conduct attendance effectively and efficiently.
Dynamic Decision-Making Model Analysis for Pandemic Spread Control Using Causal Loop Diagram Bakti Nugraha, Arif
CoreID Journal Vol. 3 No. 1 (2025): March 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i1.91

Abstract

Corona Virus Disease 2019 or better known as Covid 19 spreads very quickly and has become a pandemic for the world today. In its development process, it is very dynamic and complex, consisting of many interrelated and different components, each with its own purpose. As for the dynamic and complex issues in the spread of the Corona virus, the ability is absolutely necessary to limit the spread of the virus. For this reason, it is necessary to know the factors that influence and inhibit the spread of the virus as well as what strategies are needed and analyze the dynamic causality of these factors by using an approach method that uses a Causal Loop Diagram (CLD) system. The purpose of this study is to obtain an appropriate decision solution to manage the spread of the corona virus by using a causal graph approximation system.